Hi! I’m Chenxin “Jason” Li, a final-year Ph.D. candidate at The Chinese University of Hong Kong (CUHK).
I work on 🧠 multimodal LLMs, 🤖 RL-based reasoning/agent learning, and 🌍 world model.
I built hands-on experience in (i) scaling multimodal models (data, architecture, training, benchmarking) and (ii) post-training via RL (reasoning, multi-turn agent, reward modeling and shaping). I did internships at ByteDance Seed, Tencent AI, Ant Ling
and Hedra AI etc.
and research visits with UT Austin and UMD.
I anticipate graduating in the summer of 2026 and am interested in industrial positions [Profile]. Please feel free to reach out via email (chenxinli@link.cuhk.edu.hk) or WeChat (jasonchenxinli).
Co-founder of ScholaGO Education Technology Company Limited, 2023
I co-founded ScholaGO Education Technology Company Limited (学旅通教育科技有限公司) at 2023, to build LLM-powered education
products that turn static content into immersive, interactive, multimodal learning experiences—aiming to deliver practical impact for
learners and society. We are grateful for the funding support from HKSTP, HK Tech 300, and Alibaba
Cloud.
🎨 Hobbies
📚 Reading: I dedicate substantial time to reading, especially history, philosophy, and sociology, which shapes my perspective on what AGI should be from first principles.
📈 Investment: Investment is real-world RL: returns provide fast feedback to iteratively improve individual decision policy. Recently, I am fascinated by the idea that how to (i) build benchmarks for LLMs that quantify real-world investment utility (in the similar spirit of GPT-5.2’s gdpeval benchmark), and (ii) extending quantitative financial metrics to more general event and trend forecasting. If this resonates with you, feel free to chat.
Scholar
